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Ticket analysis

See what nara can
take off your plate.

We analyze your ticket history and work out how much time and money that saves you each year.

Decide with your own numbers.

Interactive report

Your most frequent topics and how long they take today. For each one, you see what nara resolves on its own and where it needs a connection or an approval.

Example ticket analysis: around 35,000 tickets, 48% in the ten most frequent topics, a median of 1.25 days to resolution, 137 article drafts. The top topics are marked: nara resolves it, with approval, or needs a connection.
Example ticket analysis: around 35,000 tickets, 48% in the ten most frequent topics, a median of 1.25 days to resolution, 137 article drafts. The top topics are marked: nara resolves it, with approval, or needs a connection.

Your results in one to two weeks.

After the first meeting, we set up access, analyze your tickets and walk you through the results. Then nara takes on the first requests. Your employees chat with nara in Microsoft Teams or give it a call.

Example calculation: calculated savings of €157,000 to €200,000 per year, 2,650 to 3,440 working hours or 1.7 to 2.2 full-time equivalents, from conservative to expected. All assumptions are visible and adjustable.
Example calculation: calculated savings of €157,000 to €200,000 per year, 2,650 to 3,440 working hours or 1.7 to 2.2 full-time equivalents, from conservative to expected. All assumptions are visible and adjustable.

All we need is read access.

We read your tickets and knowledge articles and change nothing in them. nara is developed and hosted in Germany. AI processing runs in the EU, and no model is trained on your data. Documentation for your CISO, works council and data protection officer is ready.

Product view: ServiceNow and Confluence are connected read-only for the ticket analysis. nara may read tickets and knowledge articles but cannot change any data.
Product view: ServiceNow and Confluence are connected read-only for the ticket analysis. nara may read tickets and knowledge articles but cannot change any data.

What some 35,000 tickets show.

From a customer project at a European manufacturer, anonymized.

 

48%

of all tickets in just ten topics.

About

1,200

account and permission changes a year.

 

2–3 days

until ERP access was granted. Only 21% of requests arrived complete.

 

137

article drafts for topics with no guide yet, ready for review.

What 68,719 tickets show.

More than eight years and two ticket systems at an international industrial company, anonymized.

77%

of all tickets fell into topics nara can take over.

6,610

releases of blocked emails, the largest single topic. Almost one ticket in ten.

1,054

tickets a month, in German, English and Chinese.

26

knowledge articles for all of these tickets. 82% of tickets carry a resolution note that guides can be written from.

We've analyzed over 40 million tickets.

So we quickly see where automation pays off for you. nara then does the work itself, inside your systems and right down to devices and servers.

Product view: example ticket analysis with around 35,000 tickets. For the five most frequent topics it shows whether nara resolves them itself, with approval or only after another connection.
Product view: example ticket analysis with around 35,000 tickets. For the five most frequent topics it shows whether nara resolves them itself, with approval or only after another connection.